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Least-squares support vector machines modelization for time-resolved spectroscopy

Chauchard, F; Roussel, S; Roger, JM; Bellon-Maurel, V; Abrahamsson, Christoffer LU ; Svensson, Tomas LU ; Andersson-Engels, Stefan LU and Svanberg, Sune LU (2005) In Applied Optics 44(33). p.7091-7097
Abstract
By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as... (More)
By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as apples. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Applied Optics
volume
44
issue
33
pages
7091 - 7097
publisher
OSA
external identifiers
  • wos:000233345000011
  • pmid:16318179
  • scopus:29144434987
ISSN
2155-3165
language
English
LU publication?
yes
id
a6a710b3-b568-46af-8762-22c4ac317187 (old id 213526)
alternative location
http://www.opticsinfobase.org/abstract.cfm?URI=ao-44-33-7091
date added to LUP
2007-08-16 13:08:17
date last changed
2017-04-23 03:43:08
@article{a6a710b3-b568-46af-8762-22c4ac317187,
  abstract     = {By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as apples.},
  author       = {Chauchard, F and Roussel, S and Roger, JM and Bellon-Maurel, V and Abrahamsson, Christoffer and Svensson, Tomas and Andersson-Engels, Stefan and Svanberg, Sune},
  issn         = {2155-3165},
  language     = {eng},
  number       = {33},
  pages        = {7091--7097},
  publisher    = {OSA},
  series       = {Applied Optics},
  title        = {Least-squares support vector machines modelization for time-resolved spectroscopy},
  volume       = {44},
  year         = {2005},
}